{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,31]],"date-time":"2026-07-31T15:42:34Z","timestamp":1785512554940,"version":"3.56.0"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,3,29]],"date-time":"2021-03-29T00:00:00Z","timestamp":1616976000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,3,29]],"date-time":"2021-03-29T00:00:00Z","timestamp":1616976000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,3,29]],"date-time":"2021-03-29T00:00:00Z","timestamp":1616976000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001804","name":"Canada Research Chairs","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001804","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,3,29]]},"DOI":"10.1109\/wcnc49053.2021.9417463","type":"proceedings-article","created":{"date-parts":[[2021,5,6]],"date-time":"2021-05-06T01:53:25Z","timestamp":1620266005000},"page":"1-6","source":"Crossref","is-referenced-by-count":19,"title":["Driver Identification Using Vehicular Sensing Data: A Deep Learning Approach"],"prefix":"10.1109","author":[{"given":"Mozhgan Nasr","family":"Azadani","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Azzedine","family":"Boukerche","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/FIT.2015.13"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2008.07.042"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2954529"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/6372597"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2017.8317716"},{"key":"ref15","first-page":"1","article-title":"Performance evaluation of driving behavior identification models through can-bus data","author":"azadani","year":"2020","journal-title":"IEEE WCNC 2020"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2924906"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2946626"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3008210"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3345768.3355938"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.04.014"},{"key":"ref3","first-page":"75","article-title":"Challenges and potential solutions for designing a practical pedestrian detection framework for supporting autonomous driving","author":"sun","year":"2020","journal-title":"ACM MobiWac"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2018.2845113"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3416010.3423239"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/SNPD.2011.33"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.4108\/ICST.ISVCS2008.3545"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MITS.2018.2879220"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2007.11.003"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2954529"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/6057830"},{"key":"ref22","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","author":"mikolov","year":"2013","journal-title":"NeurIPS"},{"key":"ref21","first-page":"4650","article-title":"Unsupervised scalable representation learning for multivariate time series","author":"franceschi","year":"2019","journal-title":"NeurIPS"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref23","article-title":"Multi-scale context aggregation by dilated convolutions","author":"yu","year":"2016","journal-title":"ICLR Conf"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/2516540.2516561"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/PST.2016.7906929"}],"event":{"name":"2021 IEEE Wireless Communications and Networking Conference (WCNC)","location":"Nanjing, China","start":{"date-parts":[[2021,3,29]]},"end":{"date-parts":[[2021,4,1]]}},"container-title":["2021 IEEE Wireless Communications and Networking Conference (WCNC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9417241\/9417112\/09417463.pdf?arnumber=9417463","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:40:51Z","timestamp":1652197251000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9417463\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3,29]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/wcnc49053.2021.9417463","relation":{},"subject":[],"published":{"date-parts":[[2021,3,29]]}}}